3986 results about "Biologic marker" patented technology

An integrated passive wireless chip diagnostic sensor system is described that can be interrogated remotely with a wireless device such as a modified cell phone incorporating multi-protocol RFID reader capabilities (such as the emerging Gen-2 standard) or Bluetooth, providing universal easy to use, low cost and immediate quantitative analyses, geolocation and sensor networking capabilities to users of the technology. The present invention can be integrated into various diagnostic platforms and is applicable for use with low power sensors such as thin films, MEMS, electrochemical, thermal, resistive, nano or microfluidic sensor technologies. Applications of the present invention include on-the-spot medical and self-diagnostics on smart skin patches, Point of Care (POC) analyses, food diagnostics, pathogen detection, disease-specific wireless biomarker detection, remote structural stresses detection and sensor networks for industrial or Homeland Security using low cost wireless devices such as modified cell phones.

A method, apparatus, and system for treating patients suffering from movement disorders having the ability to determine one or more biomarkers indicative of a disease state. In some embodiments, the biomarker may be used as a closed-loop feedback signal to control the delivery of therapy (such as electrical stimulation or drug therapy), and which may also be used as an indication of therapy effectiveness. One embodiment uses electrodes placed in the brain to measure EEG or local field potential (LFP) signals, from which the one or more biomarkers may be determined.

There is a need for improved methods for determining the diagnosis and prognosis of patients with conditions, including autoimmune disease and cancer. Provided herein are methods for using DNA sequencing to identify personalized biomarkers in patients with autoimmune disease and other conditions. Identified biomarkers can be used to determine the disease state for a subject with an autoimmune disease or other condition.

The present invention relates among other things to methods for scoring one or more biomarkers in or associated with a test sample and determining a subject's risk of developing a medical condition.

There is a need for improved methods for determining the diagnosis and prognosis of patients with conditions, including autoimmune disease and cancer, especially lymphoid neoplasms, such as lymphomas and leukemias. Provided herein are methods for using DNA sequencing to identify personalized, or patient-specific biomarkers in patients with lymphoid neoplasms, autoimmune disease and other conditions. Identified biomarkers can be used to determine and / or monitor the disease state for a subject with an associated lymphoid disorder or autoimmune disease or other condition. In particular, the invention provides a sensitive method for monitoring lymphoid neoplasms that undergo clonal evolutions without the need to development alternative assays for the evolved or mutated clones serving as patient-specific biomarkers.

The present invention relates to methods for the diagnosis and evaluation of stroke and stroke sub-type. A variety of bio-markers are disclosed for assembling a panel for such diagnosis and evaluation. Methods are disclosed for selecting markers and correlating their combined levels with a clinical outcome of interest. In various aspects: the invention provides methods for early detection and differentiation of stroke subtypes, for determining the prognosis of a patient presenting with stroke symptoms, and identifying a patient at risk for hemorrhagic transformation after thrombolyic therapy. Methods are disclosed that provide rapid, sensitive and specific assays to greatly increase the number of patients that can receive beneficial stroke treatment and therapy, and reduce the costs associated with incorrect stroke diagnosis.

The present invention provides systems, apparatuses, and methods to isolate, select or detect the presence of a target cell (e.g., fetal cells) in a sample comprising mixed populations of cells that vastly outnumber the target cells. Target cells include fetal cells, such as nucleated red blood cells, and methods of selecting such cells include diagnosis of fetal abnormalities, i.e., aneuploidy. Furthermore, methods comprise utilizing fetal biomarkers to select fetal cells in a sample comprising fetal and adult cells.

A systems biology approach is used to characterize and relate the intestinal (gut) microbiome of a host organism (e.g. a human) to physiological processes within the host. Information regarding the types and relative amounts of gut microflora is correlated with physiological processes indicative of e.g., a patient's risk of developing a disease or condition, likelihood of responding to a particular treatment, for adjusting treatment protocols, etc. The information is also used to identify novel suitable therapeutic targets and / or to develop and monitor the outcome of therapeutic treatments. An exemplary disease / condition is the development of hepatic encephalopathy (HE), particularly in patients with liver cirrhosis.

Methods for predicting the development of sepsis in a subject at risk for developing sepsis are provided. In one method, features in a biomarker profile of the subject are evaluated. The subject is likely to develop sepsis if these features satisfy a particular value set. Methods for predicting the development of a stage of sepsis in a subject at risk for developing a stage of sepsis are provided. In one method, a plurality of features in a biomarker profile of the subject is evaluated. The subject is likely to have the stage of sepsis if these feature values satisfy a particular value set. Methods of diagnosing sepsis in a subject are provided. In one such method, a plurality of features in a biomarker profile of the subject is evaluated. The subject is likely to develop sepsis when the plurality of features satisfies a particular value set.

A method is described for the reproducible quantification of biomarker expression, including biomarker expression in a tissue sample. Methods and systems are described whereby reproducible scores for biomarker expression are obtained independent of instrument, its location, or operator.

Methods for analyte detection with magnetic sensors are provided. Aspects of the methods include producing a magnetic sensor device having a magnetically labeled analyte from a sample, such as a serum sample, bound to a surface of a magnetic sensor thereof; and obtaining a signal, e.g., a real-time signal, from the magnetic sensor to determine whether the analyte is present in the sample. Also provided are devices, systems and kits that find use in practicing the methods of the invention. The methods, devices, systems and kits of the invention find use in a variety of different applications, including detection of biomarkers, such as disease markers.

The present invention provides methods for identifying or assessing probabilities for having or developing an abnormal condition in subject and for the recurrence of the abnormal condition in the subject after receiving treatment. The method comprises determining the methylation status of at least the tachykinin-1 (TAC1) gene in the subject and comparing this methylation status to normal methylation status. Differences between the methylation status of the TAC1 gene is indicative of the subject developing an abnormal condition or for the development or recurrence of the abnormal conditions after receiving treatment.

Radiolabeled epidermal growth factor receptor tyrosine kinase (EGFR-TK) irreversible inhibitors and their use as biomarkers for medicinal radioimaging such as Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT) and as radiopharmaceuticals for radiotherapy are disclosed.

The present disclosure relates to biomarkers of preterm birth, biomarkers of term birth, and methods of use thereof. In particular, the present disclosure provides methods of determining whether a pregnant woman is at an increased risk for premature delivery. The present disclosure further provides methods for decreasing a pregnant woman's risk for premature delivery.

Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D / 3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural / morphological / kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.

Disclosed is a novel human gene designated CUDR. Provides is also a CUDR gene as a biomarker in the diagnosis of human cancers and a cancer therapy.

The present invention provides methods and compositions related to biomarker profiles for each trimester of pregnancy. The present invention also provides methods for identifying patients at risk of developing a complication of pregnancy, such as preeclampsia. In further embodiments, the present invention relates to methods for the diagnosis of patients with preeclampsia.

The present invention provides methods of detecting ovarian cancer using biomarkers.

The invention concerns the identification of proteomes of biological fluids and their use in determining the state of maternal / fetal conditions, including maternal conditions of fetal origin, chromosomal aneuploidies, and fetal diseases associated with fetal growth and maturation. In particular, the invention concerns a comprehensive proteomic analysis of human amniotic fluid (AF) and cervical vaginal fluid (CVF), and the correlation of characteristic changes in the normal proteome with various pathologic maternal / fetal conditions, such as intra-amniotic infection, pre-term labor, and / or chromosomal defects. The invention further concerns the identification of biomarkers and groups of biomarkers that can be used for non-invasive diagnosis of various pregnancy-related disorders, and diagnostic assays using such biomarkers.

System and method for capturing, concentrating, and detecting a diagnostic target in a liquid, comprising applying a magnetic field to a mixture comprising a co-aggregate in the liquid to provide a collected co-aggregate in the liquid, wherein the co-aggregate comprises a magnetic particle having a stimuli-responsive polymer attached thereto and a non-magnetic particle having a stimuli-responsive polymer and a diagnostic target attached thereto.

Methods and systems are provided for the noninvasive measurement of the subepithelial impedance of the breast and for assessing the risk that a substantially asymptomatic female patient will develop or be at substantially increased risk of developing proliferative or pre-cancerous changes in the breast, or may be at subsequent risk for the development of pre-cancerous or cancerous changes. A plurality of electrodes are used to measure subepithelial impedance of parenchymal breast tissue of a patient at one or more locations and at least one frequency, particularly moderately high frequencies. The risk of developing breast cancer is assessed according to measured and expected or estimated values of subepithelial impedance for the patient and according to one or more experienced-based algorithms. Devices for practicing the disclosed methods are also provided.

The present invention provides diagnostic and prognostic methods for predicting the effectiveness of treatment of a cancer patient with an IGF-1R kinase inhibitor. Methods are provided for predicting the sensitivity of tumor cell growth to inhibition by an IGF-1R kinase inhibitor, comprising assessing whether the tumor cell has undergone an epithelial to mesenchymal transition (EMT), by determining the expression level of epithelial and / or mesenchymal biomarkers, wherein tumor cells that have undergone an EMT are substantially less sensitive to inhibition by IGF-1R kinase inhibitors. Improved methods for treating cancer patients with IGF-1R kinase inhibitors that incorporate the above methodology are also provided. Additionally, methods are provided for the identification of new biomarkers that are predictive of responsiveness of tumors to IGF-1R kinase inhibitors. Furthermore, methods for the identification of agents that restore the sensitivity of tumor cells that have undergone EMT to inhibition by IGF-1R kinase inhibitors are also provided.

A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.

The present invention relates to compositions, kits, and methods for detecting, characterizing, preventing, and treating cancer (e.g., hematological malignancies in humans). A variety of biomarker chromosomal number alterations (CNAs) and biomarkers corresponding thereto, are provided, wherein alterations in the copy number of one or more of the biomarker CNAs and / or alterations in the amount, structure, and / or activity of one or more of the biomarkers comprised within the CNAs is associated with cancer status.

The methods described herein enable the evaluation of compounds on subjects to assess their therapeutic efficacy or toxic effects. The target of analysis is the underlying biochemical process or processes (i.e., metabolic process) thought to be involved in disease pathogenesis. Molecular flux rates within the one or more biochemical processes serve as biomarkers and are quantitated and compared with the molecular flux rates (i.e., biomarker) from control subjects (i.e., subjects not exposed to the compounds). Any change in the biomarker in the subject relative to the biomarker in the control subject provides the necessary information to evaluate therapeutic efficacy of an administered drug or a toxic effect and to develop the compound further if desired. In one aspect of the invention, stable isotope-labeled substrate molecules are administered to a subject and the label is incorporated into targeted molecules in a manner that reveals molecular flux rates through one or more metabolic pathways of interest. By this method, a comparison between subjects and control subjects reveals the effects of the chemical entity or entities on the biomarkers. This, in turn, allows for the identification of potential therapeutic uses or toxicities of the compound. Combinations of compounds can also be systematically evaluated for complementary, synergistic, or antagonistic actions on the metabolic pathways of interest, using the methods of the present invention as a strategy for identifying and confirming novel therapeutic or toxic combinations of compounds.

Methods and compositions for evaluating the prognosis of a breast cancer patient, particularly an early-stage breast cancer patient, are provided. The methods of the invention comprise detecting expression of at least one, more particularly at least two, biomarker(s) in a body sample, wherein overexpression of the biomarker or a combination of biomarkers is indicative of breast cancer prognosis. In some embodiments, the body sample is a breast tissue sample, particularly a primary breast tumor sample. The biomarkers of the invention are proteins and / or genes whose overexpression is indicative of either a good or bad cancer prognosis. Biomarkers of interest include proteins and genes involved in cell cycle regulation, DNA replication, transcription, signal transduction, cell proliferation, invasion, proteolysis, or metastasis. In some aspects of the invention, overexpression of a biomarker of interest is detected at the protein level using biomarker-specific antibodies or at the nucleic acid level using nucleic acid hybridization techniques.

The present invention provides methods and compositions related to biomarker profiles for each trimester of pregnancy. The present invention also provides methods for identifying patients at risk of developing a complication of pregnancy, such as preeclampsia. In further embodiments, the present invention relates to methods for the diagnosis of patients with preeclampsia.

A method and kit for detecting the immediate or early onset of renal disease and injury, including renal tubular cell injury, utilizing NGAL as an immediate or early on-set biomarker in a sample of blood serum. NGAL is a small secreted polypeptide that is protease resistant and consequently readily detected in the blood serum following renal tubule cell injury. NGAL protein expression is detected predominantly in proximal tubule cells, in a punctuate cytoplasmic distribution reminiscent of a secreted protein. The appearance NGAL in the serum is related to the dose and duration of renal ischemia and nephrotoxemia, and is diagnostic of renal tubule cell injury and renal failure. NGAL detection is also a useful marker for monitoring the nephrotoxic side effects of drugs or other therapeutic agents.